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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

OFDMA femtocells: A roadmap on interference avoidance

Open access
Lopez-Perez, D., Valcarce, A., de la Roche, G., Jie Zhang·2009·IEEE Communications Magazine

Abstract

OFDMA femtocells have been pointed out by the industry as a good solution not only to overcome the indoor coverage problem but also to deal with the growth of traffic within macrocells. However, the deployment of a new femtocell layer may have an undesired impact on the performance of the macrocell layer. The allocation of spectrum resources and the avoidance of electromagnetic interference are some of the more urgent challenges that operators face before femtocells become widely deployed. In this article a coverage and interference analysis based on a realistic OFDMA macro/femtocell scenario is provided, as well as some guidelines on how the spectrum allocation and interference mitigation problems can be approached in these networks. Special attention is paid to the use of self-configuration and self-optimization techniques for the avoidance of interference.

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Crossref · 10.1109/mcom.2009.5277454

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Metadata

Authors
Lopez-Perez, D., Valcarce, A., de la Roche, G., & Zhang, J.
Venue
IEEE Communications Magazine
Published
2009-09
Volume
47
Issue
9
Pages
41-48
ISSN
0163-6804 (ISSN-L)
OpenAlex
W2014060493
Cited by
829
References
5
FWCI
79.46
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: OFDMA femtocells: A roadmap on interference avoidance. https://app.cochat.ai/papers/10.1109/mcom.2009.5277454
The paper
Lopez-Perez, D., Valcarce, A., de la Roche, G., & Zhang, J. (2009). OFDMA femtocells: A roadmap on interference avoidance. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2009.5277454

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.